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Research on Hybrid Teaching Mode Based on Personalized Learning Resource Recommendation

Limin Liu

Abstract


The traditional classroom teaching mode has the shortcomings of relatively single form and unable to carry out
differentiated teaching for individual students. Under the background of education informatization 2.0 action plan, “Internet+
education” has been developing rapidly. “Online” plus “offline” hybrid teaching mode also emerged. In view of this
background, this paper designs a hybrid teaching mode which can carry out personalized learning resource recommendation.
Taking the teaching of algorithm design and analysis as an example, this paper constructs a student-centered, innovative and
personalized learning mode. Through the data mining and analysis of students’ individual learning behavior, the personalized
learning approach is innovated. The teaching practice shows that this method can effectively enhance the teaching effect.

Keywords


Personalized Learning; Resource Recommendation; Online Plus Offline, Hybrid Teaching

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References


[1] Liu M, Wu L. Application of mixed-teaching mode in the theoretical and practical teaching of remote sensing applications

in geosciences. Geospatial Information 2021; 19(02): 109-112+8.

[2] Li Q, Xu X, Liu X. The mixed teaching mode design based on MOOC and SPOC reversal classroom deep learning.

Journal of Hubei Normal University (Philosophy and Social Science) 2020; 40(03): 90-93.

[3] Feng J, Wei Y. Research on personalized mixed teaching mode in the context of the normalization of epidemic prevention

and control. Software Guide 2020; 19(12): 64-66.

[4] Cao K. Exploration and practice of the online and offline hybrid teaching model——Taking the course “inorganic and

analytical chemistry” as a case in point. Journal of Panzhihua University 2017; (02): 106-109.




DOI: http://dx.doi.org/10.18686/ahe.v5i3.3447

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